IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Dynamic Arbitrage Gaps for Financial Assets

  • Rodolfo Apreda

In this paper we are concerned with the existence of a dynamic arbitrage gap that evolves out of an adjustment process for disequilibrium prices, within a complex dynamics framework which takes into account the market microstructure and transactions costs. Although this gap exhibits non linear and chaotic behavior, it doesn’t preclude effective arbitrage transactions from taking place in real markets. Moreover, it may explain much better those factors which usually impede actual perfect arbitrage. Besides, this dynamic arbitrage gap depends upon a truly financial gap that accounts for unexpected events and superior information on the professional dealers´side. In this way, we can learn much more about dynamical adjustment processes from financial assets, making the arbitrage gap instrumental to set about real arbitrage positions. Finally, the dynamic arbitrage gap could become useful when coping with financial crisis as far as some basic parameters´range of values for which the dynamics becomes chaotic could be measured in advance.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.ucema.edu.ar/publicaciones/download/documentos/134.pdf
Download Restriction: no

Paper provided by Universidad del CEMA in its series CEMA Working Papers: Serie Documentos de Trabajo. with number 134.

as
in new window

Length:
Date of creation: Aug 1998
Date of revision:
Handle: RePEc:cem:doctra:134
Contact details of provider: Postal: Av. Córdoba 374, (C1054AAP) Capital Federal
Phone: (5411) 6314-3000
Fax: (5411) 4314-1654
Web page: http://www.cema.edu.ar/publicaciones/doc_trabajo.html
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Hawawini, Gabriel & Cohen, Kalman & Maier, Steven & Schwartz, Robert & Whitcomb, David, 1980. "Implications of microstructure theory for empirical research in stock price behavior," MPRA Paper 33976, University Library of Munich, Germany.
  2. Caplin, Andrew & Leahy, John, 1996. "Trading Costs, Price, and Volume in Asset Markets," American Economic Review, American Economic Association, vol. 86(2), pages 192-96, May.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:cem:doctra:134. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Valeria Dowding)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.